DocumentCode :
2183607
Title :
New Robust Speech Recognition By Using Nonlinear Running Spectrurn Filter
Author :
Hayasaka, Noboru ; Khankhavivone, Kham ; Miyanaga, Yoshikazu ; Songwatana, Kraisin
Author_Institution :
Graduate Sch. of Inf. Sci. & Technonology, Hokkaido Univ., Sapporo
fYear :
2006
fDate :
Oct. 18 2006-Sept. 20 2006
Firstpage :
133
Lastpage :
136
Abstract :
This report proposes new design of nonlinear running spectrum filters. The running spectrum filters have been applied for robust speech recognition. Using these filters, the system can recognize speech accurately in low SNR. However, when we consider high SNR circumstances, these filters interfere sometimes with accurate speech recognition. In this report, another approach on robust speech recognition is introduced as nonlinear running spectrum filtering (NRSF). This method can be used in various cases of low-high SNRs. It is shown in this report that the new NRSF can be used for robust speech recognition with high accuracy and low calculation cost
Keywords :
filtering theory; speech recognition; nonlinear running spectrum filtering; robust speech recognition; speech analysis; Additive noise; Band pass filters; Cepstrum; Costs; Filtering; Finite impulse response filter; IIR filters; Low pass filters; Noise robustness; Speech recognition; DRA; Noise Robust Speech Analysis; RSF; Robust Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications and Information Technologies, 2006. ISCIT '06. International Symposium on
Conference_Location :
Bangkok
Print_ISBN :
0-7803-9741-X
Electronic_ISBN :
0-7803-9741-X
Type :
conf
DOI :
10.1109/ISCIT.2006.339902
Filename :
4141528
Link To Document :
بازگشت